带诱饵雷达辐射源目标位置信息场成像定位算法

The Imaging Localization Algorithm of Radar Transmitters with Decoys Based on Position Observing Information Tolerance Synthesize

  • 摘要: 针对带诱饵雷达辐射源群定位问题,提出了一种基于目标位置信息场的成像定位算法。具体方法为:采用两侦察接收机接收观测区域内目标辐射源信号,直接利用采样数据,通过对侦察机2接收到信号进行傅里叶运算变换到频域,在频域进行时差补偿,然后对时差补偿后信号进行逆傅里叶运算变换到时域,在时域对信号进行多普勒频差补偿,再对时差和频差补偿后信号与侦察机1采样信号进行复共轭求和运算,得到位置信息增量函数,最后采用加权将不同时间片的位置信息增量函数关联起来,从而建立位置信息场。仿真实验表明,本文所提成像定位算法具有较高的定位精度和目标分辨率,为进一步识别重点目标雷达和诱饵雷达提供基础。

     

    Abstract: To solve the problem of radar transmitters with decoys localization, a novel imaging localization algorithm based on position observing information tolerance synthesize (“POINTS” for short) is put forward. The following provides specific steps. Signals in the observing area are received by two moving passive scoutplanes. The signals received by scoutplane 2nd use Fourier transformation to the frequency domain, and the time difference is compensated in the frequency domain. Then the signals whose time difference has been compensated use the inverse Fourier transformation to time domain, and the Doppler frequency shift difference is compensated in the time domain. The information increment function is constructed by complex conjugate sum operation with the signals which have been transformed and the signals received by scoutplane 1st. Finally, the POINTS is constructed with the weighted operation which is used to associate different slice position information increment function. The results of simulation show that the imaging localization algorithm has high precision and super resolution features and can help identify the key point radars and the radar decoys.

     

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